CHAPTER 7
STORING ORGANIZATIONAL INFORMATION - DATABASE
KPP1 - LIBRARY UITM
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Today i have learn some of chapter 7 in subject MGT 300 it's about storing organizational information - database.Okay ,what i'm going to tell your guys is every single chapter in subject MGT 300 that i have learn from Madam Intan Liana Binti Suhaime are must link with another chapter from beginning until this chapter.So, i hope that your guys can understand the chapter before this to understood every words that your will learn in this chapter.
Relational Database Fundamentals
What is information?
Information is everywhere in an organization
Information is stored in databases
Database – maintains information about various types of
objects (inventory), events (transactions), people (employees), and places
(warehouses)
Database models include:
- Hierarchical database model – information is organized into
a tree-like structure (using parent/child relationships) in such a way that it
cannot have too many relationships
- Network database model – a flexible way of representing objects
and their relationships
- Relational database model – stores information in the form
of logically related two-dimensional tables
Entities and Attributes
Entity – a person, place, thing, transaction, or event about
which information is stored
The rows in each table contain the entities
Attributes (fields, columns) – characteristics or properties
of an entity class
The columns in each table contain the attributes
Keys and Relationships
Primary keys and foreign keys identify the various entity
classes (tables) in the database
- Primary key – a field (or group of fields) that uniquely
identifies a given entity in a table
- Foreign key – a primary key of one table that appears an
attribute in another table and acts to provide a logical relationship among the
two tables
Relational Database Advantages
Database advantages from a business perspective include
- Increased flexibility
- Increased scalability and performance
- Reduced information redundancy
- Increased information integrity (quality)
- Increased information security
Increased Flexibility
A well-designed database should:
- Handle changes quickly and easily
- Provide users with different views
- Have only one physical view
- Physical view – deals with the physical storage of
information on a storage device
- Have multiple logical views
- Logical view – focuses on how users logically access
information
Increased Scalability and Performance
A database must scale to meet increased demand, while maintaining acceptable performance
levels
- Scalability – refers to how well a system can adapt to
increased demands
- Performance – measures how quickly a system performs a
certain process or transaction
Reduced Information Redundancy
Databases reduce information redundancy
Redundancy – the duplication of information or storing the
same information in multiple places
Inconsistency is one of the primary problems with redundant
information
Increase Information Integrity (Quality)
Information integrity – measures the quality of information
- Integrity constraint – rules that help ensure the quality of
information
- Relational integrity constraint
- Business-critical integrity constraint
Increased Information Security
Information is an organizational asset and must be protected
- Databases offer several security features including:
- Password – provides authentication of the user
- Access level – determines who has access to the different
types of information
- Access control – determines types of user
access, such as read-only access
Database Management Systems
Database management systems (DBMS) – software through which
users and application programs interact with a database
DATA-DRIVEN WEB SITES
Data-driven Web sites – an interactive Web site kept
constantly updated and relevant to the needs of its customers through the use
of a database
Data-Driven Web Site Business Advantages
- Development
- Content Management
- Future Expandability
- Minimizing Human Error
- Cutting Production and Update Costs
- More Efficient
- Improved Stability
Data-Driven Business Intelligence
BI in a data-driven Web site
Integrating Information among Multiple Databases
- Integration – allows separate systems to communicate
directly with each other
- Forward integration – takes information entered into a given
system and sends it automatically to all downstream systems and processes
- Backward integration – takes information entered into a
given system and sends it automatically to all upstream systems and processes
Forward integration and Backward integration
Building a central repository specifically for integrated
information